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hattorihanzo1/leonidas-4b-gguf overview
"Come and take them." — Leonidas I, 480 BC Few parameters. No retreat. ---
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text-generation
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gguf
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{
"metadata": {},
"card_data": {
"language": [
"pl",
"en"
],
"license": "apache-2.0",
"base_model": "Qwen/Qwen3.5-4B",
"tags": [
"llama-cpp",
"gguf",
"polish",
"reasoning",
"chain-of-thought",
"lora",
"mamba",
"qwen",
"text-generation",
"4b"
],
"pipeline_tag": "text-generation",
"library_name": "gguf",
"model_type": "qwen3_5",
"datasets": [
"michalwlasiuk/data-set-mix"
],
"inference": false,
"frontmatter": {
"language": [
"pl",
"en"
],
"license": "apache-2.0",
"base_model": "Qwen/Qwen3.5-4B",
"tags": [
"llama-cpp",
"gguf",
"polish",
"reasoning",
"chain-of-thought",
"lora",
"mamba",
"qwen",
"text-generation",
"4b"
],
"pipeline_tag": "text-generation",
"library_name": "gguf",
"model_type": "qwen3_5",
"datasets": [
"michalwlasiuk/data-set-mix"
],
"inference": "false"
},
"hero_image_url": "",
"summary": "> *\"Come and take them.\"* — Leonidas I, 480 BC **Few parameters. No retreat.** ---",
"quick_links": [],
"benchmark_table_html": "",
"readme_markdown": "---\nlanguage:\n - pl\n - en\nlicense: apache-2.0\nbase_model: Qwen/Qwen3.5-4B\ntags:\n - llama-cpp\n - gguf\n - polish\n - reasoning\n - chain-of-thought\n - lora\n - mamba\n - qwen\n - text-generation\n - 4b\npipeline_tag: text-generation\nlibrary_name: gguf\nmodel_type: qwen3_5\ndatasets:\n - michalwlasiuk/data-set-mix\ninference: false\n---\n\n# Leonidas-4B\n\n> *\"Come and take them.\"* — Leonidas I, 480 BC\n\n**Few parameters. No retreat.**\n\n---\n\n## Model Description\n\nLeonidas-4B is a fine-tuned Polish reasoning model built on the **Qwen3.5-4B hybrid** architecture (Mamba + Attention). It was trained using LoRA fp16 on a curated 48k Polish Chain-of-Thought dataset, with native `<think>` reasoning blocks.\n\nForged by **Hattori Hanzo** — because an idiot admires complexity, a genius admires simplicity.\n\n> *\"An idiot admires complexity, a genius admires simplicity.\"* — Terry A. Davis, TempleOS\n\n---\n\n## Architecture\n\n| Property | Value |\n|---|---|\n| Base Model | Qwen3.5-4B (hybrid Mamba+Attention) |\n| Parameters | ~4B |\n| Training Method | LoRA fp16 (r=16, alpha=16) |\n| Trainable params | 0.47% |\n| Training Steps | 1500 |\n| Final Loss | 0.4389 |\n| Context Length | 32768 |\n| Language | Polish 🇵🇱 + English |\n\n---\n## Training\n\n- **Dataset**: 48k Polish CoT (Chain-of-Thought) — mixed reasoning, math, logic, science\n- **Format**: ChatML with native `<think>` blocks\n- **Platform**: Kaggle T4 16GB\n- **Phases**:\n| Phase | Steps | LR | Scheduler |\n|---|---|---|---|\n| 1 | 2000 | 2e-4 | linear |\n| 2 | 3000 | 5e-5 | cosine |\n| 3 | 5000 | 3e-5 | cosine |\n| 4 | 5000 | 1e-5 | cosine |\n\n---\n## Available Files\n\n| File | Size | Description |\n|---|---|---|\n| `leonidas_f16.gguf` | 8.41 GB | Full precision fp16 |\n| `leonidas_Q8_0.gguf` | 4.47 GB | Q8_0 — best quality |\n| `leonidas_Q6_K.gguf` | 3.45 GB | Q6_K — great quality |\n| `leonidas_Q4_K_M.gguf` | 2.70 GB | Q4_K_M — recommended for most setups |\n\n---\n## Usage\n### llama.cpp\n\n```bash\n./llama-cli \\\n -m leonidas_Q4_K_M.gguf \\\n -p \"Jesteś asystentem AI. Myśl krok po kroku.\" \\\n --chat-template chatml \\\n -n 1024\n```\n### Ollama / OpenWebUI\nCompatible with any OpenAI-compatible frontend supporting GGUF + ChatML template.\n### Recommended Parameters\n```\ntemperature: 0.6\ntop_p: 0.95\ntop_k: 40\nrepetition_penalty: 1.05\n```\n---\n## Capabilities\n\n- ✅ Native Polish reasoning with `<think>` CoT blocks\n- ✅ Mathematics and logic\n- ✅ Scientific explanations\n- ✅ Sentiment analysis\n- ✅ Code generation (Python, basics)\n- ✅ Quantum physics concepts\n\n---\n## Forge Stamp\n```\ngeneral.author: HattoriHanzo1\nhanzo.base_model: Qwen3.5-4B\nhanzo.leonidas: Τότε ἐν τῇ σκιᾷ μαχούμεθα\n (\"Then we shall fight in the shade.\")\n```\n---\n## License\nApache 2.0 — base model license from Qwen3.5-4B (Alibaba Cloud).\n---\n\n*Romani ite domum* 😄 — Qapla'! ⚔️🖖",
"related_quantizations": []
},
"tags": [
"gguf",
"llama-cpp",
"polish",
"reasoning",
"chain-of-thought",
"lora",
"mamba",
"qwen",
"text-generation",
"4b",
"pl",
"en",
"dataset:michalwlasiuk/data-set-mix",
"base_model:Qwen/Qwen3.5-4B",
"base_model:adapter:Qwen/Qwen3.5-4B",
"license:apache-2.0",
"region:us",
"conversational"
],
"likes": 0,
"downloads": 1496,
"gated": false,
"private": false,
"last_modified": "2026-04-02T17:32:29.000Z",
"created_at": "2026-03-09T21:55:13.000Z",
"pipeline_tag": "text-generation",
"library_name": "gguf"
}
Source payload excerpt (from Hugging Face API)
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"createdAt": "2026-03-09T21:55:13.000Z",
"lastModified": "2026-04-02T17:32:29.000Z",
"author": "HattoriHanzo1",
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